Professional Certificate in STEM Data Science Fundamentals: Analytics Techniques
-- viewing nowThe Professional Certificate in STEM Data Science Fundamentals: Analytics Techniques is a comprehensive course that equips learners with essential data science skills in high demand by industries worldwide. This program covers critical areas, including statistics, probability, data manipulation, and visualization using popular tools like Python, R, and SQL.
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Course Details
• Unit 1: Introduction to STEM Data Science Fundamentals
• Unit 2: Data Collection and Preprocessing
• Unit 3: Statistical Analysis for Data Science
• Unit 4: Data Visualization Techniques
• Unit 5: Descriptive and Inferential Analytics
• Unit 6: Supervised Learning Algorithms
• Unit 7: Unsupervised Learning Algorithms
• Unit 8: Evaluation Metrics for Data Science Models
• Unit 9: Data Science Ethics and Bias Mitigation
• Unit 10: Real-world Applications of STEM Data Science
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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